Staff Detection Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Principal Engineer - Process Development, CMP, NAND Job / Role Summary The Principal Engineer provides technical leadership for Chemical Mechanical Planarization (CMP) process development supporting advanced 3D NAND and future technology nodes. This role leads process characterization, margin improvement, integration, and transfer readiness, while driving cross-functional alignment with global development, manufacturing, equipment, and supplier teams. The position resolves complex process, yield, defectivity, and manufacturability challenges, influences module and site-level technical direction, and advances robust CMP capability for high-volume production through disciplined experimentation, process control, and technology roadmap execution. Main Responsibilities · Lead CMP process characterization and advanced process development for 3D NAND and future technology nodes. · Define and execute CMP process strategies that improve process margin, robustness, manufacturability, yield, and performance. · Lead complex experiments and data analysis to validate process windows, technology scaling readiness, and integration requirements. · Drive transfer of developed CMP processes to high-volume manufacturing at Fab10N and lead cross-func

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for a Staff Software Engineer to help build the next generation of CLEAR's enterprise identity platform, CLEAR1. We’re creating frictionless identity solutions for some of the most sophisticated companies in the world and pushing the boundaries everywhere we go. As a Staff Engineer, you’ll own high-impact, cross-functional products and integrations end to end from problem framing and architecture through implementation, rollout, adoption, and measurable outcomes. This is an ideal role for someone who thrives in scrappy, ambiguous environments, while bringing the technical rigor and operating discipline developed at larger companies. You’ll partner across teams, establish reusable patterns and standards, improve reliability and execution, influence technical direction, and mentor other engineers. A brief highlight of our tech stack: Python / Java / React / Typescript What you’ll do: Design, build, test, and deploy scalable applications that power CLEAR’s identity platform. Own projects end to end—from technical discovery and architecture through implementation, rollout, adoption, and operational support. Partner closely with Product, Design, Data, Security, and Operations to translate business problems into simple, scalable technical solutions. Design for reality by understanding failure modes, system dependencies, degradation strategies, recovery paths, and the points where systems may break under scale. Build quality and operability into the design from the start, including test strategy, observability, alerting, sa

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry already sees the moment software breaks: the error, the trace, the replay, the commit that caused it. Seer, our AI debugger, uses all of that to figure out what went wrong and how to fix it. We're looking for a Staff engineer to help decide how that system should evolve as models improve every few months. Some of what we build today will be obsolete by next spring. Part of the job is knowing which parts, and building the rest to last. In this role you will Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues Set technical direction for how our agents get context, use tools, and decide when they're done Build the evals that tell us whether a new model or prompt actually helped, fast enough that people use them Decide when to use a frontier model, a smaller one, or one we trained, and revisit that as cost and capability shift Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own major AI initiatives end to end, alongside the developers and product teams shipping them Run what you ship in production and debug it with Sentry You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications You've shipped an LLM-backed system people depended on, and can tell us what broke You have strong opinions on agent design and have changed at least one in the last year You've trained or fin

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. The Surfaces Podcasts team owns podcast recommendations across some of Spotify’s most visible surfaces, including Home and the Now Playing view. We build and improve the recommendation systems that help listeners discover their next favorite show or episode while helping creators reach the right audiences. As a Staff Machine Learning Engineer, you’ll help shape the future of personalized discovery and engagement at Spotify. You’ll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences for listeners at global scale. You’ll take models from research to production, help set technical direction in ambiguous problem spaces, and solve complex personalization challenges across Spotify. What You'll Do Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience. Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally. Build content recommendation systems for emerging agentic and AI-powered user experiences. Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. Partner closely with Product Managers, Engineers, Data Scientists, and Designers to define and execute experimentation strategies. Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Staff Software Engineer Location - Hyderabad, India Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Staff Software Engineer to join our Hyderabad, India team. In this role, you’ll help us define technical solutions for critical business problems and lead the technical direction for complex, high-scale systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a high-impact engineering group focused on solving unstructured and ambiguous challenges. You will act as a technical authority, aligning non-adjacent teams to deliver results that move the needle for the entire organisation. Here’s what your day-to-day might look like: Drive Technical Excellence: Act as a subject matter expert, providing high-level reviews and technical advice across multiple teams. Architect Scalable Solutions: Define and design technical solutions for complex business problems within a high-traffic environment (20krpm+). Lead Strategic Direction: Influence the long-term technical roadmap and manage project timelines, risks, and sustainable delivery paces. Mentor & Coach: Support the growth of engineers across all levels and partner with up-and-coming leaders to scale our en

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Staff Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Staff Software Engineer to join our London, UK - Hybrid (3 days from the office) team. In this role, you’ll help us define technical solutions for critical business problems and lead the technical direction for complex, high-scale systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a high-impact engineering group focused on solving unstructured and ambiguous challenges. You will act as a technical authority, aligning non-adjacent teams to deliver results that move the needle for the entire organisation. Here’s what your day-to-day might look like: Drive Technical Excellence: Act as a subject matter expert, providing high-level reviews and technical advice across multiple teams. Architect Scalable Solutions: Define and design technical solutions for complex business problems within a high-traffic environment (20krpm+). Lead Strategic Direction: Influence the long-term technical roadmap and manage project timelines, risks, and sustainable delivery paces. Mentor & Coach: Support the growth of engineers across all levels and partner with up-and-coming leaders to scale our en

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Staff Software Engineer - Full Stack Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Staff Software Engineer - Full Stack to join our London team (hybrid, 3 days from the office) . In this role, you’ll help us define technical solutions for critical business problems and lead the technical direction for complex, high-scale systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a high-impact engineering group focused on solving unstructured and ambiguous challenges. You will act as a technical authority, aligning non-adjacent teams to deliver results that move the needle for the entire organisation. Here’s what your day-to-day might look like: Drive Technical Excellence: Act as a subject matter expert, providing high-level reviews and technical advice across multiple teams. Architect Scalable Solutions: Define and design technical solutions for complex business problems within a high-traffic environment (20krpm+). Lead Strategic Direction: Influence the long-term technical roadmap and manage project timelines, risks, and sustainable delivery paces. Mentor & Coach: Support the growth of engineers across all levels and partner with up-and-c

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Dev Environments team sits within DoorDash's Foundations group (Platform Engineering). We own the local and remote developer experience across the DoorDash group of companies supporting over 5000 engineers. Our mission is to enable engineering velocity, quality, and efficiency at significant scale by removing friction from the day-to-day developer loop: spinning up a working environment, getting code building, and getting feedback fast, whether the "developer" is a human or an AI agent. As a Staff Engineer on Dev Environments, you'll be recognised as an expert across the dev environments space, covering both local and remote dev flows, devcontainers, IDE/remote backends, and how they all fit together, including owning accountability for outcomes that span multiple teams. You'll set technical direction for the team's roadmap, unblock deep cross-cutting technical problems other engineers can't resolve alone, and mentor senior and mid-level engineers. You'll partner closely with engineering leadership across the group to translate ambiguous, company-wide developer-experience problems into a concrete, sequenced technical strategy. What You’ll Be Doing Technical direction Define the architecture for how thousands of engineers across DoorDash, Wolt, and Deliveroo actually develop and ship code: local and remote dev containers, remote IDE/VM lifecycle, and the full local-to-remote loop. Build monorepo dev tooling at scale. It's part of consolidating all the companies under DoorDash’s umbrella onto one global backend - you're setting the standard, not patching one org's tooling. Provision production-shaped environments in seconds, keep state in sync over the network, and make a

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. What you'll do Own a major technical area of Ray Core end to end, defining the roadmap, identifying the most important technical problems, and driving execution through production. Lead large, technically complex projects spanning multiple engineers, teams, and/or organizations. Set technical direction and make architectural decisions for distributed computing infrastructure used by demanding production workloads. Design, build, and evolve core distributed-systems primitives rather than simply integrating existing platforms or frameworks. Work on problems involving areas such as distributed execution, scheduling, resource management, fault tolerance, concurrency, networking, storage, or system performance. Stay hands-on with implementation and debugging in a systems-oriented codebase, while raising the technical bar for the engineers around you. Help shape the longer-term architecture and evolution of Ray Core as our workloads and scale continue to grow. What we're looking for 6+ years of software engineering experience, with a track record of increasing technical ownership. Experience leading substantial projects end to end, including defining the problem, creating a roadmap, making architectural decisions, driv

About the Team The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Distributed Key Value team owns the storage platform that powers business-critical workloads across DoorDash, Wolt, and Deliveroo. These systems sit on the Tier-0 critical path. They serve millions of QPS across multiple regions and underpin how hundreds of engineering teams build reliable systems at massive scale. About the role DoorDash's storage abstraction platform is a unified data-access layer that sits in front of our databases and decouples application teams from the underlying storage engines, similar to modern data-gateway and key-value / time-series data-abstraction platforms. Nearly every request that touches persistent data flows through it. As DoorDash scales 10x–100x across new verticals, global expansion, and acquisitions, this platform is where the hardest distributed-storage problems live — latency at the tail, request routing, and reliability under exponential load. We're hiring a Staff Software Engineer to be the domain specialist for the storage abstraction platform: a deep, opinionated technical leader who owns the reliability, performance, and correctness of the platform at scale, sets its technical direction, and raises the execution bar across the storage organization. You must be located in the New York Metro Area, Bay Area or Seattle for this hybrid position. You will report to the Engineering Manager on our Distributed Key Value team within the Storage organization. You're excited about this opportunity because you will… Own the reliability, performance, and correctness of the storage abstraction platform at scale, independently leading resolution of mission-critical issues in ambiguous, high-pressure situations. Set technical direction for the platform — the storage abstraction and data-access layer, provider model, caching, and rou

Content Platform is responsible for ingesting, processing, storing, and delivering every piece of content on Spotify — from music and podcasts to audiobooks. Within Content Platform, the Media domain owns the end-to-end media pipeline, from the moment content arrives through to seamless playback for listeners around the world. We're looking for a Staff Engineer to provide architectural leadership across this media platform. You’ll help shape and drive the technical direction from ingestion through transcoding, packaging, storage, delivery, and playback. This is a role for someone who thinks in systems, understands the trade-offs between codec choices and infrastructure costs, and can drive technical strategy across multiple teams at scale. What You'll Do Define and drive the long-term architectural direction for Spotify's media pipeline across Content Platform. Lead large-scale technical initiatives that span multiple squads and organizations, including projects such as media delivery, codec rollouts, and future playback capabilities. Partner closely with engineering managers, product managers, and senior engineers to align technical strategy with product priorities, reliability goals, and cost efficiency, acting as a key technical counterpart for media architecture. Guide architectural decisions across media ingestion, transcoding, packaging, storage, content delivery, and playback. Author and review RFCs, architecture decision records, and technical design documents that guide engineering teams and leadership. Mentor senior engineers across the organization, helping raise technical quality, architectural thinking, and engineering excellence. Bring a cost-aware engineering mindset by understanding how media architecture decisions impact compute, storage, CDN utilization, and long-term platform sustainability. Who You Are You have deep expertise building large-scale media plat

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Infrastructure organization enables Reddit to deliver reliability, performance, and efficiency with a single opinionated technology stack. The Ingestion Platform team within Infrastructure builds a low-code interface for moving data from supported sources to supported sinks, making it easier for teams across Reddit to create reliable, scalable data pipelines without building and operating bespoke infrastructure. Our platform supports streaming and batch data movement from Kafka to destinations such as BigQuery and object storage, and is expanding toward S3/GCS, Apache Iceberg, transformations, deduplication, and additional sinks. We work closely with Data Pipelines, Data Movement, Ads Data Platform, ML Indexing, Flink Platform, Storage, and other partner teams to improve developer velocity, reliability, observability, and operational efficiency. We are looking to hire a Staff Software Engineer to help shape and scale this platform. This is a high-impact role where your technical judgment, customer empathy, and operational mindset will influence the future direction of data movement at Reddit. What You’ll Do: As a Staff Engineer, you will lead the development and evolution of Reddit’s Ingestion Platform. Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency. Own the architecture and evolution of the platform’s control plane and data plane, includ

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. OVERVIEW The Developer Experience team at Instacart is the force multiplier for our 1000+ engineers. We define and build the platforms, tools, and practices that enable Instacart engineers to ship high-quality software faster — from AI-powered code review to build infrastructure, developer onboarding, and local development environments. Our success is measured in developer velocity: how quickly an engineer can take an idea from concept to production. As a Staff Software Engineer on Developer Experience, you will lead the technical direction for the developer infrastructure that every Instacart engineer relies on. That spans local and remote development environments, CI pipelines and the feedback loop on every commit, pre-production environments that engineers and AI agents can trust, version-control infrastructure, and the AI-powered developer tooling woven through

The team Product Platform builds the foundations behind Cash App and Square. We own shared systems, abstractions, and tools that help product teams build high-quality iOS experiences with speed, consistency, and confidence, while shaping how AI-native development is adopted across our engineering organizations. The role As a Staff iOS Engineer on Product Platform, you will be a hands-on technical leader and a multiplier for iOS engineering. You will identify important problems that do not yet have clear ownership, prove a direction through hands-on work, and create systems that other teams can adopt. You will influence iOS architecture, developer experience, performance, reliability, security, and product quality across multiple teams. This is an individual contributor role with organization-level scope. Your goal is not to become a permanent bottleneck. You will create leverage through clear interfaces, strong documentation, sound technical decisions, and new technical leaders. You will Build and evolve the iOS platform Own and evolve foundational iOS systems, such as application architecture, navigation, deep linking, dependency management, lifecycle management, and shared user interface foundations. Design shared libraries, frameworks, and developer tools that product teams rely on. Find and frame systemic iOS problems that do not yet have clear ownership. Define technical strategy, architecture, standards, and measures of success across teams and applications. Build prototypes, reference implementations, and critical paths that prove a direction before broader adoption. Lead multi-quarter migrations and foundational initiatives from proposal through adoption. Establish durable practices for testing, observability, performance, release safety, security, and maintainability. Improve developer and AI ergonomics so both engineers and coding agents can work effectively with the platform. Contribute platform technology to open source when it creates value for the broa

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. About the team The AI/ML Platform pod builds Fanatics' internal AI platform: the paved road for every team building with LLMs, MCPs, and agents. Gateway, agent runtime, registry, retrieval, evaluation, and cost analytics, all running on a petabyte-scale lakehouse with enterprise-grade governance. You'll join a pod that owns this platform end to end. This is a Staff-level role, and a hands-on one. You will choose the architecture, define the standards other teams build to, and stay in the code, shipping the hardest parts yourself. The decisions you make are ones the organization lives with for years. Responsibilities • Own the end-to-end architecture of the AI control plane: gateway, agent runtime, registry, retrieval, evaluation, and cost. Set technical direction, sequence the roadmap, and make the build-versus-buy calls. • Build the enterprise LLM gateway: multi-provider routing, failover, caching, rate limiting, token optimization, and key management, with a path to self-hosted open-weight models where cost, latency, or data residency call for it. • Build the Agent/MCP ecosystem on a managed runtime such as AWS BedrockAgentCore: enterprise systems exposed as governed tools over MCP, a control-plane registry for discovery,